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Amazon Cloud Native Python Developer

Hybrid in Latvia, Republic of Lithuania
Python.Core& 4 others
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We are seeking an experienced Amazon Cloud Native Python Developer to join our team working on an internally developed, event-driven platform built on AWS serverless technologies.

This role is ideal for an engineer experienced in event-driven systems built on AWS integration tools, or an Operations expert skilled in AWS, DynamoDB, and OpenSearch. The team owns the architecture, infrastructure, and end-to-end testing strategy, so engineers are expected to work effectively within an established codebase and set of engineering conventions rather than focusing solely on greenfield development.

Responsibilities
  • Work independently with minimal supervision
  • Make sound technical decisions and justify trade-offs
  • Navigate and contribute to complex distributed systems
  • Influence architectural direction, not just implement requirements
  • Design, build, and maintain event-driven services running on AWS serverless infrastructure
  • Contribute to architectural decisions and document design choices
  • Develop and maintain infrastructure using Infrastructure as Code
  • Ensure reliability, scalability, and operational excellence across services
  • Write and maintain automated end-to-end tests
  • Collaborate with other engineers to evolve platform capabilities and engineering standards
Requirements
  • 6+ years of relevant professional experience with Python as a primary development language
  • Solid understanding of AWS architecture, including VPCs, networking fundamentals, and multi-account environments
  • Knowledge of AWS security, operational best practices, and how AWS services integrate within larger systems
  • Hands-on experience with AWS Lambda, event-driven application design, and production operation of serverless workloads
  • Expertise in messaging and integration patterns, with experience designing and operating systems using EventBridge, SQS, and SNS
  • Understanding of asynchronous communication patterns and distributed system design principles
  • Proficiency in Infrastructure as Code using AWS CDK, ideally in TypeScript (application code is primarily Python; infrastructure is defined in TypeScript)
  • Deep operational and architectural expertise in DynamoDB, including single-table design, access-pattern-driven modelling, and GSIs/LSIs
  • Competency in DynamoDB capacity planning and capacity modes, Streams, and TTL
  • Skills in DynamoDB Point-in-Time Recovery (PITR), operational monitoring, and troubleshooting beyond basic CRUD operations
  • Strong understanding of distributed data consistency, including ACID vs. BASE trade-offs, eventual consistency, and implications of consistency models in DynamoDB and event-driven architectures
  • Background in designing and operating event-driven microservice architectures, covering service boundaries, event contracts, failure handling, and scalability/resiliency
  • Capability to evaluate multiple design approaches, make informed architectural decisions, and drive technical direction independently while clearly communicating and documenting trade-offs
  • Experience with automated testing strategies, including end-to-end testing, with familiarity with BDD frameworks such as Behave being highly desirable
  • Qualifications in data modelling and validation using JSON Schema, Pydantic, or similar frameworks
  • Excellent command of written and spoken English (B2+ level)
Nice to have
  • OpenSearch development and operational experience
  • Skills in application profiling and memory optimization
  • Background in monitoring and operating high-volume, mission-critical systems
  • Expertise in API design and implementation
  • Familiarity with GraphQL